Jump to Data Science, CIO News, AND CIO
Data science is an incredible discipline, it is the requirement of today and the standard of the future. Yes, different people at different stages of their career/studies seek advice. I try to share some tips and points that can help you.
Student: I have just finished my studies and I am looking for a discipline in engineering.
Question: Is data science/artificial intelligence a good path for me? What kind of job will I get, future etc.?
Here’s what you can expect after graduation and in DS employment:
- Work where you implement what you have studied
- Each problem statement is unique
- Good creativity/learning
- Daily reasoning and testing
- Wide variety of domains to choose from – wide scope
Yes, you should ask yourself if you are good at math, reasoning, analysis, creativity, common sense. These are prerequisites for Data Science (DS)
Employee with 1-4 years. exp: Work in another discipline and have no DS experience.
Q: How can I still upgrade to DS? Which path should I take? What options are available?
Different people look at their possibilities differently, and I understand your constraints. Here are the corresponding actions and next steps. If you want
1. Spend less/more money but less time: Get a DS certificate, say for 6 months – it’s to learn the fundamentals well. It is beyond learning online courses.
Getting a certificate alone does not take you long. Find a project to work on. I know it’s not easy, getting data is even harder.
Should I check out opportunities in my organization – yes, but there are hundreds of other associates like you in the organization. Therefore, the possibility of getting a project is less.
Develop a good problem statement for an area you know you can get data from (either online, at the gym – your own exercise data and with friends, in your garden – plant growth, plant infection, etc. .). Collect data and solve it. Be more hands-on and learn the real issues in this space and post them in conferences. With this groundwork, you are better prepared to get a good job.
2. Spend a lot of money and time: Opt for a master’s program in DS. Get a good internship project, demonstrate your theoretical knowledge and great communication skills to explain the concept well to management. You are already on the job.
3. You want to be a differentiator: Plan a PhD – University/advisor plays a good role. Four years later, after research work, you are a new personality. You can make your own way
Employee from 5 to 15 years. exp: You had a good time in one or more areas, think it’s time to switch to DS. DS knowledge can range from minimal to average.
Question: How to proceed? What will the future look like?
Here is a plan for you.
- Plan for a one-year certification/master’s program (part-time).
- You are an expert in your field of work
- Stretch to integrate DS into your work. Automate some of the decision making – demonstrate it (only if your boss allows it, take full permissions)
- In less than a year or two, you are a perfect blend of business knowledge, business requirements, DS, complete solution.
- You are unique.
The author is lead data scientist, Kyndryl.
Comments are closed.